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Tanuka Bhattacharjee

4 accepted papers

2024

Spectral Analysis of Vowels and Fricatives at Varied Levels of Dysarthria Severity for Amyotrophic Lateral Sclerosis

ICASSP 2024accepted

Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) affects the acoustic characteristics of different speech sounds. The effects intensify with increasing severity leading to the collapse of the acoustic space of the affected individuals. With an aim to characterize such changes in the acoustic sp…

Cited by 0SourceScholar
2023

Exploring the Role of Fricatives in Classifying Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis and Parkinson's Disease

ICASSP 2023accepted

Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) and Parkinson’s Disease (PD) impairs sustained phoneme productions. Vowels and fricatives get affected differently owing to the differences in their production mechanisms. This paper examines three sustained voiceless fricatives - /s/, /sh/ and /…

Cited by 0SourceScholar
2023

Static and Dynamic Source and Filter Cues for Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Subjects

ICASSP 2023accepted

Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) affects speech production. Even the elementary sustained vowel utterances get impaired. For these, the impairments can be in achieving vowel-specific articulatory configurations, reflected in static acoustic cues, and/or in sustaining a configura…

Cited by 0SourceScholar
2021

Effect of Noise and Model Complexity on Detection of Amyotrophic Lateral Sclerosis and Parkinson's Disease Using Pitch and MFCC

ICASSP 2021accepted

Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) and Parkinson’s disease (PD) impacts both articulation and prosody in an individual’s speech. Complex deep neural networks exploit these cues for detection of ALS and PD. These are typically done using recordings in laboratory condition. This stu…

Cited by 0SourceScholar